Erosion prediction model using fractional vegetation cover

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Nursida Arif, Projo Danoedoro, Hartono, Andrew Mulabbi

2020 Indonesian Journal of Science and Technology Vol. 5 Issue 1 Article Cited by 9 SDG 15SDG 17 Quartile

Abstract

The purpose of this study was to create an erosion prediction model in Serang Watershed, Indonesia. The erosion model used two input data, namely the slope derivied from Digital Elevation Model (DEM) data, and Fractional Vegetation Cover (FVC) from SPOT images. Assessment of the model was carried out using questionnaires and interviews with several experts by presenting the results of the model and its supporting data. Based on the DEM data, the level of slope steepness in the study area is very varied namely; flat (52.77%), sloping (7.62%), and rather steep to very steep (39.59%). Vegetation density according to the FVC results is dominated by medium density. The results of the analysis of the two input models can provide predictions of the level of erosion with an accuracy of 67.92%. Evaluation of the model was done by experts with conclusions that the method was very flexible and can be adapted to similar watersheds elsewhere. © 2020 Tim Pengembang Jurnal UPI.

Affiliations

Department of Geography Education, Faculty of Social Science, Universitas Negeri Yogyakarta, Indonesia; Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia; Uganda Christian University, Plot 67, Mukono Hill, Bilshop Tucker Road, P.O. Box 4, Mukono, Uganda

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